






'''simple docstring'''





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


_UpperCamelCase						:						List[str]  =					logging.get_logger(__name__)

_UpperCamelCase						:						List[str]  =					{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_UpperCamelCase						:						Union[str, Any]  =					{
    'vocab_file': {
        'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_char_small': (
            'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_chinese_char_base': (
            'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_discriminator': (
            'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_generator': (
            'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'
        ),
    }
}

_UpperCamelCase						:						Optional[int]  =					{
    'junnyu/roformer_chinese_small': 1_536,
    'junnyu/roformer_chinese_base': 1_536,
    'junnyu/roformer_chinese_char_small': 512,
    'junnyu/roformer_chinese_char_base': 512,
    'junnyu/roformer_small_discriminator': 128,
    'junnyu/roformer_small_generator': 128,
}


_UpperCamelCase						:						str  =					{
    'junnyu/roformer_chinese_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_base': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_base': {'do_lower_case': True},
    'junnyu/roformer_small_discriminator': {'do_lower_case': True},
    'junnyu/roformer_small_generator': {'do_lower_case': True},
}


class  snake_case__      (					UpperCamelCase):
					a_        =					VOCAB_FILES_NAMES
					a_        =					PRETRAINED_VOCAB_FILES_MAP
					a_        =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					a_        =					PRETRAINED_INIT_CONFIGURATION
					a_        =					RoFormerTokenizer




					def __init__(  self  :		Optional[Any]				, _A  :		List[str]=None				, _A  :		Union[str, Any]=None				, _A  :		Tuple=True				, _A  :		List[Any]="[UNK]"				, _A  :		str="[SEP]"				, _A  :		int="[PAD]"				, _A  :		Optional[int]="[CLS]"				, _A  :		Union[str, Any]="[MASK]"				, _A  :		str=True				, _A  :		Any=None				, **_A  :		Dict				, )    ->							List[str]:
								super().__init__(
								    _A				, tokenizer_file=_A				, do_lower_case=_A				, unk_token=_A				, sep_token=_A				, pad_token=_A				, cls_token=_A				, mask_token=_A				, tokenize_chinese_chars=_A				, strip_accents=_A				, **_A				, )

								UpperCAmelCase_      :       str          =       json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
								if (
								    pre_tok_state.get('''lowercase'''				, _A      ) != do_lower_case
								    or pre_tok_state.get('''strip_accents'''				, _A      ) != strip_accents
								):
											UpperCAmelCase_      :       Dict          =       getattr(_A				, pre_tok_state.pop('''type'''      )      )
											UpperCAmelCase_      :       Union[str, Any]          =       do_lower_case
											UpperCAmelCase_      :       Optional[Any]          =       strip_accents
											UpperCAmelCase_      :       int          =       pre_tok_class(**_A      )

								UpperCAmelCase_      :       List[str]          =       do_lower_case




					def __getstate__(  self  :		Dict      )    ->							Dict:
								UpperCAmelCase_      :       List[str]          =       self.__dict__.copy()
								UpperCAmelCase_      :       List[str]          =       BertPreTokenizer()
								return state




					def __setstate__(  self  :		List[Any]				, _A  :		Tuple      )    ->							List[str]:
								UpperCAmelCase_      :       Any          =       d
								UpperCAmelCase_      :       List[str]          =       self.__dict__['''_tokenizer'''].get_vocab()
								UpperCAmelCase_      :       Dict          =       PreTokenizer.custom(JiebaPreTokenizer(_A      )      )




					def 		A      (  self  :		Optional[int]				, _A  :		List[Any]				, _A  :		int=None      )    ->							List[str]:
								UpperCAmelCase_      :       Union[str, Any]          =       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

								if token_ids_a:
											output += token_ids_a + [self.sep_token_id]

								return output




					def 		A      (  self  :		Dict				, _A  :		List[int]				, _A  :		Optional[List[int]] = None      )    ->							List[int]:
								UpperCAmelCase_      :       Any          =       [self.sep_token_id]
								UpperCAmelCase_      :       Dict          =       [self.cls_token_id]
								if token_ids_a is None:
											return len(cls + token_ids_a + sep      ) * [0]
								return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]




					def 		A      (  self  :		int				, _A  :		str				, _A  :		Optional[str] = None      )    ->							Tuple[str]:
								UpperCAmelCase_      :       Optional[int]          =       self._tokenizer.model.save(_A				, name=_A      )
								return tuple(_A      )





					def 		A      (  self  :		Union[str, Any]				, _A  :		List[str]				, _A  :		Any=None				, _A  :		List[Any]=None				, _A  :		List[str]=False				, **_A  :		List[Any]				, )    ->							str:
								UpperCAmelCase_      :       Optional[Any]          =       BertPreTokenizer()
								return super().save_pretrained(_A				, _A				, _A				, _A				, **_A      )










'''simple docstring'''





def __UpperCAmelCase   (					A					:			list		)    ->   list:
			if len(A		) <= 1:
						return lst

			UpperCAmelCase_      :       List[str]          =       1

			while i < len(A		):
						if lst[i - 1] <= lst[i]:
									i += 1
						else:
									UpperCAmelCase_    ,      UpperCAmelCase_      :       Dict          =       lst[i], lst[i - 1]
									i -= 1
									if i == 0:
												UpperCAmelCase_      :       Dict          =       1

			return lst


if __name__ == "__main__":
						_UpperCamelCase						:						int  =					input('Enter numbers separated by a comma:\n').strip()
						_UpperCamelCase						:						Union[str, Any]  =					[int(item) for item in user_input.split(',')]
						print(gnome_sort(unsorted))


